The chart below shows the movement of people from rural to urban areas in
three countries and predictions for future years.
Summarise the information by selecting and reporting the main features, and
make comparisons where relevant.
The line graph illustrates the figures in millions for the number of people who migrate from the countryside to cities in three specific countries from 2000 to 2025, including guessing for the future.
Overall, all the countries experienced an upswing in the period 2000 to 2020. However, only the number of countries A and C have been forecast to continue climbing up for the next 5 years.
It is clear from the chart that country A started with the most migrants (about 15 million). Then over the period, it underwent a significant upswing, particularly between 2010 and 2015 (around 42 to 70 million) and this upward trend is forecast to continue (reaching 86 million by 2025). Similarly, the figures for country C was in the third-place with about 14 million. For the next 5 years, this number remained the same and after 2005 is predicted to see a dramatic increase from 14 to 50 million, surpassing Country’s A figures in 2020 reaching around 95 million at the end. However, country B bucks the trend somewhat. Whilst consistently steady between 2000 and 2020, its upturn is far less significant than the other two countries (10 to 30 million). Furthermore, post 2020, it is forecast to reach a plateau at around 30 million.
- We are becoming increasingly dependent on computer based technology How do you think it will change in the future Is it good for us to rely so much on computers 84
- Aui 11
- internet users as percentages of population 78
- The chart below shows the movement of people from rural to urban areas in three countries and predictions for future years Summarise the information by selecting and reporting the main features and make comparisons where relevant 78
- Summarise the information by selecting and reporting the main features and make comparisons where relevant The line graph compares USA Canada and Mexico in terms of the proportion of people using internet from 1999 to 2009 89
Transition Words or Phrases used:
furthermore, however, if, similarly, so, then, third
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 7.0 7.0 100% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 5.0 6.8 74% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 7.0 5.60731707317 125% => Less pronouns wanted
Preposition: 36.0 33.7804878049 107% => OK
Nominalization: 0.0 3.97073170732 0% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1018.0 965.302439024 105% => OK
No of words: 211.0 196.424390244 107% => OK
Chars per words: 4.82464454976 4.92477711251 98% => OK
Fourth root words length: 3.81127787577 3.73543355544 102% => OK
Word Length SD: 2.74184440537 2.65546596893 103% => OK
Unique words: 121.0 106.607317073 114% => OK
Unique words percentage: 0.57345971564 0.547539520022 105% => OK
syllable_count: 276.3 283.868780488 97% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 5.0 1.53170731707 326% => Less pronouns wanted as sentence beginning.
Article: 2.0 4.33902439024 46% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 0.0 3.36585365854 0% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 21.0 22.4926829268 93% => OK
Sentence length SD: 55.8713701282 43.030603864 130% => OK
Chars per sentence: 101.8 112.824112599 90% => OK
Words per sentence: 21.1 22.9334400587 92% => OK
Discourse Markers: 5.2 5.23603664747 99% => OK
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 6.0 3.70975609756 162% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 4.0 4.09268292683 98% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.125293436374 0.215688989381 58% => OK
Sentence topic coherence: 0.0576024956995 0.103423049105 56% => OK
Sentence topic coherence SD: 0.0463882807842 0.0843802449381 55% => OK
Paragraph topic coherence: 0.102981084307 0.15604864568 66% => OK
Paragraph topic coherence SD: 0.041282486484 0.0819641961636 50% => OK
Essay readability:
automated_readability_index: 11.8 13.2329268293 89% => Automated_readability_index is low.
flesch_reading_ease: 75.54 61.2550243902 123% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 7.9 10.3012195122 77% => OK
coleman_liau_index: 10.68 11.4140731707 94% => OK
dale_chall_readability_score: 7.9 8.06136585366 98% => OK
difficult_words: 43.0 40.7170731707 106% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 10.4 10.9970731707 95% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?
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Rates: 78.6516853933 out of 100
Scores by essay e-grader: 7.0 Out of 9
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.